EVALUATING QUINOA LODGING RISK AND YIELD UNDER DIFFERENT IRRIGATION THRESHOLDS, NITROGEN RATES AND PLANTING DENSITIES IN NORTH-WESTERN CHINA

Ning WANG, Fengxin WANG, Clinton C. SHOCK, Lei GAO, Chaobiao MENG, Zejun HUANG, Jianyu ZHAO

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Front. Agr. Sci. Eng. ›› 2022, Vol. 9 ›› Issue (4) : 614-626. DOI: 10.15302/J-FASE-2021430
RESEARCH ARTICLE
RESEARCH ARTICLE

EVALUATING QUINOA LODGING RISK AND YIELD UNDER DIFFERENT IRRIGATION THRESHOLDS, NITROGEN RATES AND PLANTING DENSITIES IN NORTH-WESTERN CHINA

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Highlights

● A moderate irrigation threshold of −25 kPa gave the greatest actual yield.

● Nitrogen rates of 80−160 kg·ha−1 reduced lodging risk without yield decrease.

● Planting density of 30 plants·m−2 provided both high yield and lodging resistance.

● A lower-stem lodging index was best for prediction of quinoa lodging risk.

Abstract

Lodging is a major yield-limiting factor of quinoa production. In 2018 and 2019, the orthogonal field experiments were conducted to investigate the responses of quinoa lodging risk and yield to irrigation threshold (soil matric potential of −15, −25 and −55 kPa), nitrogen rate (80, 160 and 240 kg·ha−1) and planting density (20, 30 and 40 plants m−2). Results showed that high irrigation thresholds and nitrogen rates significantly (P < 0.05) increased plant height and fresh weight per plant, and high planting densities reduced stem diameter and strength, all of those led to significantly ( P < 0.05) high lodging risks. The −15 and −55 kPa treatments gave the lowest actual yield ( P < 0.05) in 2018 and 2019, respectively. Higher lodging rate with a nitrogen rate of 240 kg·ha−1 resulted in a lower actual yield than 80 and 160 kg·ha−1 in both years. Planting density of 30 plants m−2 gave a significantly (P < 0.05) greater estimated yield than 20 plants m−2 and had a lower lodging rate than 40 plants m−2, resulting in the maximum actual yield among planting densities. In conclusion, a moderate irrigation threshold of −25 kPa, a nitrogen rate of 80−160 kg·ha−1 and an intermediate planting density of 30 plants m−2 were determined to be best for quinoa cultivation in North-western China. In addition, the lower-stem lodging index (quarter plant height) could evaluate lodging risk more accurately than middle-stem (half plant height) or upper-stem (three quarters plant height) lodging indexes.

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Keywords

lodging index / orthogonal design / soil matric potential / stem strength

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Ning WANG, Fengxin WANG, Clinton C. SHOCK, Lei GAO, Chaobiao MENG, Zejun HUANG, Jianyu ZHAO. EVALUATING QUINOA LODGING RISK AND YIELD UNDER DIFFERENT IRRIGATION THRESHOLDS, NITROGEN RATES AND PLANTING DENSITIES IN NORTH-WESTERN CHINA. Front. Agr. Sci. Eng., 2022, 9(4): 614‒626 https://doi.org/10.15302/J-FASE-2021430

References

[1]
BazileD, BerteroH D, NietoC. Social and economic aspects. State of the art report on quinoa around the world in 2013. Roma: FAO and CIRAD, 2015, 316–330
[2]
WangN, WangF X, ShockC C, MengC B, QiaoL F. Effects of management practices on quinoa growth, seed yield, and quality. Agronomy, 2020, 10( 3): 445
CrossRef Google scholar
[3]
YangX S, QinP Y, GuoH M, RenG X. Quinoa industry development in China. International Journal of Agriculture and Natural Resources, 2019, 46( 2): 208–219
[4]
KangS Z, SuX L, TongL, ShiP Z, YangX Y, YukuoA, DuT S, ShenQ L, ZhangJ H. The impacts of human activities on the water-land environment of Shiyang River Basin, an arid region in northwest China. Hydrological Sciences Journal, 2004, 49( 3): 413–427
CrossRef Google scholar
[5]
YangK J, WangF X, ShockC C, KangS Z, HuoZ L, SongN, MaD. Potato performance as influenced by the proportion of wetted soil volume and nitrogen under drip irrigation with plastic mulch. Agricultural Water Management, 2017, 179 : 260–270
CrossRef Google scholar
[6]
GuoQ, HunagG M, GuoY L, ZhangM C, ZhouY Y, DuanL S. Optimizing irrigation and planting density of spring maize under mulch drip irrigation system in the arid region of Northwest China. Field Crops Research, 2021, 266 : 108141
CrossRef Google scholar
[7]
Schulteauf’m Erley G, KaulH P, KruseM, AufhammerW. Yield and nitrogen utilization efficiency of the pseudocereals amaranth, quinoa, and buckwheat under differing nitrogen fertilization. European Journal of Agronomy, 2005, 22( 1): 95–100
CrossRef Google scholar
[8]
NurseR E, ObeidK, PageE R. Optimal planting date, row width, and critical weed-free period for grain amaranth and quinoa grown in Ontario, Canada. Canadian Journal of Plant Science, 2016, 96( 3): 360–366
CrossRef Google scholar
[9]
RenY F, HuanQ, WangZ M, YangY D, MeiL, ZhaP Y. Effect of chemical control on agronomic traits and yield of quinoa. Journal of China Agricultural University, 2018, 23( 8): 8–16
[10]
RenY F, WangZ M, ZhaoP Y, SongJ, LiY F, LuoH, Deng W Y. Ecological adaptability of quinoa in Northern foot of Yinshan in Inner Mongolia. Crops, 2016, 171(2): 79–82 (in Chinese)
[11]
BakerC J, BerryP M, SpinkJ H, Sylvester-BradleyR, GriffinJ M, ScottR K, ClareR W. A method for the assessment of the risk of wheat lodging. Journal of Theoretical Biology, 1998, 194( 4): 587–603
CrossRef Google scholar
[12]
BerryP M, SterlingM, BakerC J, SpinkJ, SparkesD L. A calibrated model of wheat lodging compared with field measurements. Agricultural and Forest Meteorology, 2003, 119( 3–4): 3–4
[13]
PanJ N. The study on lodging-resistant properties and regulation mechanism of quinoa high-yielding population in Yinshan Hilly Region of Inner Mongolia. Dissertation for the Master’s Degree. Hohhot, China: Inner Mongolia Agricultural University, 2018 (in Chinese)
[14]
WangN, WangF X, ShockC C, MengC B, HuangZ J, GaoL, ZhaoJ Y. Evaluating quinoa stem lodging susceptibility by a mathematical model and the finite element method under different agronomic practices. Field Crops Research, 2021, 271 : 108241
CrossRef Google scholar
[15]
WangY X. Study on Growth and Physiological Characteristics of Different Varieties Quinoa in Horqin Sandy Land. Dissertation for the Master’s Degree. Hohhot, China: Inner Mongolia Agricultural University, 2019 (in Chinese)
[16]
HirichA, Choukr-AllahR, JacobsenS E. Deficit irrigation and organic compost improve growth and yield of quinoa and pea. Journal Agronomy & Crop Science, 2014, 200( 5): 390–398
CrossRef Google scholar
[17]
BañonS, OchoaJ, FrancoJ A, AlarcónJ J, Sánchez-BlancoM J. Hardening of oleander seedlings by deficit irrigation and low air humidity. Environmental and Experimental Botany, 2006, 56( 1): 36–43
CrossRef Google scholar
[18]
ÁlvarezS, NavarroA, BanonS, Sanchez-BlancoM J. Regulated deficit irrigation in potted Dianthus plants: effects of severe and moderate water stress on growth and physiological responses. Scientia Horticulturae, 2009, 122( 4): 579–585
CrossRef Google scholar
[19]
MaS C, DuanA W, MaS T, YangS J. Effect of early-stage regulated deficit irrigation on stem lodging resistance, leaf photosynthesis, root respiration and yield stability of winter wheat under post-anthesis water stress conditions. Irrigation and Drainage, 2016, 65( 5): 673–681
CrossRef Google scholar
[20]
ShockC C, WangF X. Soil water tension, a powerful measurement for productivity and stewardship. HortScience, 2011, 46( 2): 178–185
CrossRef Google scholar
[21]
WangB, NieD, Zhao Y F, HuoX L, HuangG J, ZhangQ. The effects of water-nitrogen coupling on yield, nitrogen and water use efficiency of quinoa. Journal of Irrigation and Drainage, 2020, 39(9): 87–94 (in Chinese)
[22]
WeiF Z, LiJ C, WangC Y, QuH J, ShenX S. Effects of nitrogenous fertilizer application model on culm lodging resistance in winter wheat. Acta Agronomica Sinica, 2008, 34(6): 2008−1085 (in Chinese)
[23]
YangS M, XieL, Zheng S L, LiJ C, YuanJ. Effects of nitrogen rate and transplanting density on physical and chemical characteristics and lodging resistance of culms in hybrid rice. Acta Agronomica Sinica, 2009, 35(1): 93–103 (in Chinese)
[24]
JacobsenS E, JørgensenI, StølenO. Cultivation of quinoa (Chenopodium quinoa) under temperate climatic conditions in Denmark. Journal of Agricultural Science, 1994, 122( 1): 47–52
CrossRef Google scholar
[25]
SpeharC R, da Silva RochaJ E. Effect of sowing density on plant growth and development of quinoa, genotype 4.5, in the Brazilian Savannah highlands. Bioscience Journal, 2009, 25( 4): 53–58
[26]
EassonD L, WhiteE M, PicklesS J. The effects of weather, seed rate and cultivar on lodging and yield in winter-wheat. Journal of Agricultural Science, 1993, 121( 2): 145–156
CrossRef Google scholar
[27]
GouL, Huang J J, ZhangB, LiT, Sun R, ZhaoM. Effects of population density on stalk lodging resistant mechanism and agronomic characteristics of maize. Acta Agronomia Sinica, 2007, 33(10): 2007−1695 (in Chinese)
[28]
NovacekM J, MasonS C, GalushaT D, YaseenM. Twin rows minimally impact irrigated maize yield, morphology, and lodging. Agronomy Journal, 2013, 105( 1): 268–276
CrossRef Google scholar
[29]
BakerC J, SterlingM, BerryP. A generalised model of crop lodging. Journal of Theoretical Biology, 2014, 363 : 1–12
CrossRef Google scholar
[30]
ZuberU, WinzelerH, MessmerM M, KellerM, KellerB, SchmidJ E, StampP. Morphological traits associated with lodging resistance of spring wheat (Triticum aestivum L.). Journal Agronomy & Crop Science, 1999, 182( 1): 17–24
CrossRef Google scholar
[31]
EsechieH A, RodriguezV, Al-AsmiH. Comparison of local and exotic maize varieties for stalk lodging components in a desert climate. European Journal of Agronomy, 2004, 21( 1): 21–30
CrossRef Google scholar
[32]
IslamM S, PengS B, VisperasR M, ErefulN, BhuiyaM S U, JulfiquarA W. Lodging-related morphological traits of hybrid rice in a tropical irrigated ecosystem. Field Crops Research, 2007, 101( 2): 240–248
CrossRef Google scholar
[33]
PengD L, ChenX G, YinY P, LuK L, YangW B, TangY H, WangZ L. Lodging resistance of winter wheat (Triticum aestivum L.): lignin accumulation and its related enzymes activities due to the application of paclobutrazol or gibberellin acid. Field Crops Research, 2014, 157 : 1–7
CrossRef Google scholar
[34]
ZhangM, WangH, YiY, DingJ, ZhuM, LiC, GuoW, FengC, ZhuX. Effect of nitrogen levels and nitrogen ratios on lodging resistance and yield potential of winter wheat (Triticum aestivum L.). PLoS One, 2017, 12( 11): e0187543
CrossRef Google scholar
[35]
ZhangW, WuL, DingY, YaoX, WuX, WengF, LiG, LiuZ, TangS, DingC, WangS. Nitrogen fertilizer application affects lodging resistance by altering secondary cell wall synthesis in japonica rice (Oryza sativa). Journal of Plant Research, 2017, 130( 5): 859–871
CrossRef Google scholar
[36]
BerryP M, GriffinJ M, Sylvester-BradleyR, ScottR K, SpinkJ H, BakerC J, ClareR W. Controlling plant form through husbandry to minimise lodging in wheat. Field Crops Research, 2000, 67( 1): 59–81
CrossRef Google scholar
[37]
KuaiJ, SunY Y, ZhouM, ZhangP P, ZuoQ S, WuJ S, ZhouG S. The effect of nitrogen application and planting density on the radiation use efficiency and the stem lignin metabolism in rapeseed (Brassica napus L.). Field Crops Research, 2016, 199 : 89–98
CrossRef Google scholar
[38]
JacobsenS E, ChristiansenJ L. Some agronomic strategies for organic quinoa (Chenopodium quinoa Willd.). Journal Agronomy & Crop Science, 2016, 202( 6): 454–463
CrossRef Google scholar
[39]
YangF R. Breeding and application prospects of new variety Chenopodium quinoa cv. Longli 1. Gansu Agricultural Science and Technology, 2015, 12: 1–5 (in Chinese)
[40]
FenS J. Experiment report on different planting density of quinoa in loess plateau in Longzhong. Agricultural Science-Technology and Information, 2019, 5: 11–12+17 (in Chinese)
[41]
JacobsenS E, JensenC R, PedersenH. Use of the relative vegetation index for growth estimation in quinoa (Chenopodium quinoa Willd.). Journal of Food Agriculture and Environment, 2005, 3( 2): 169–175
[42]
AlandiaG, JacobsenS E, KyvsgaardN C, CondoriB, LiuF L. Nitrogen sustains seed yield of quinoa under intermediate drought. Journal Agronomy & Crop Science, 2016, 202( 4): 281–291
CrossRef Google scholar
[43]
MirabellaN E, AbbateP E, AlonsoM P, PaneloJ S, PontaroliA C. Identifying traits at crop maturity and models for estimation of lodging susceptibility in bread wheat. Crop & Pasture Science, 2019, 70( 2): 95–106
CrossRef Google scholar
[44]
GimplingerD M, Schulteauf’m Erley G, DobosG, KaulH P. Optimum crop densities for potential yield and harvestable yield of grain amaranth are conflicting. European Journal of Agronomy, 2008, 28( 2): 119–125
CrossRef Google scholar
[45]
BerryP M, SterlingM, SpinkJ H, BakerC J, Sylvester-BradleyR, MooneyS J, TamsA R, EnnosA R. Understanding and reducing lodging in cereals. Advances in Agronomy, 2004, 84 : 217–271
CrossRef Google scholar
[46]
ZhangQ, ZhangL Z, EversJ, van der WerfW, ZhangW Q, DuanL S. Maize yield and quality in response to plant density and application of a novel plant growth regulator. Field Crops Research, 2014, 164 : 82–89
CrossRef Google scholar
[47]
FischerR A, StapperM. Lodging effects on high-yielding crops of irrigated semidwarf wheat. Field Crops Research, 1987, 17( 3–4): 3–4
[48]
XiangD B, ZhaoG, WanY, TanM L, SongC, SongY. Effect of planting density on lodging-related morphology, lodging rate, and yield of tartary buckwheat (Fagopyrum tataricum). Plant Production Science, 2016, 19( 4): 479–488
CrossRef Google scholar
[49]
BerryP M, Sylvester-BradleyR, BerryS. Ideotype design for lodging- resistant wheat. Euphytica, 2007, 154( 1–2): 1–2

Acknowledgements

This study is supported by the Ministry of Water Resources (201501017), the Foundation for Innovative Research Groups of the National Natural Science Foundation (51621061), and the Major Program of the National Natural Science Foundation (51439006) of China.

Compliance with ethics guidelines

Ning Wang, Fengxin Wang, Clinton C. Shock, Lei Gao, Chaobiao Meng, Zejun Huang, and Jianyu Zhao declare that they have no conflicts of interest or financial conflicts to disclose. This article does not contain any study with human or animal subjects performed by any of the authors.

RIGHTS & PERMISSIONS

The Author(s) 2021. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)
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